| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 105 | | tagDensity | 0.019 | | leniency | 0.038 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.45% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1959 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 71.92% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1959 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "warmth" | | 1 | "measured" | | 2 | "sense of" | | 3 | "chill" | | 4 | "flicked" | | 5 | "tension" | | 6 | "silence" | | 7 | "tenderness" | | 8 | "shattered" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 2 |
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| | highlights | | 0 | "eyes widened" | | 1 | "eyes narrowed" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 138 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 138 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 243 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1959 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 81 | | wordCount | 1408 | | uniqueNames | 8 | | maxNameDensity | 2.7 | | worstName | "Rory" | | maxWindowNameDensity | 5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 38 | | Raven | 1 | | Nest | 1 | | Nia | 31 | | Cardiff | 1 | | Bar | 1 | | Motown | 1 | | Silas | 7 |
| | persons | | 0 | "Rory" | | 1 | "Raven" | | 2 | "Nest" | | 3 | "Nia" | | 4 | "Bar" | | 5 | "Silas" |
| | places | | | globalScore | 0.151 | | windowScore | 0 | |
| 97.92% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 96 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like one" | | 1 | "looked like it had lost an argument, and" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1959 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 243 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 180 | | mean | 10.88 | | std | 13.86 | | cv | 1.273 | | sampleLengths | | 0 | 39 | | 1 | 8 | | 2 | 10 | | 3 | 80 | | 4 | 53 | | 5 | 7 | | 6 | 1 | | 7 | 10 | | 8 | 3 | | 9 | 7 | | 10 | 10 | | 11 | 10 | | 12 | 30 | | 13 | 2 | | 14 | 75 | | 15 | 44 | | 16 | 3 | | 17 | 16 | | 18 | 3 | | 19 | 1 | | 20 | 21 | | 21 | 14 | | 22 | 21 | | 23 | 6 | | 24 | 23 | | 25 | 2 | | 26 | 5 | | 27 | 5 | | 28 | 18 | | 29 | 4 | | 30 | 18 | | 31 | 2 | | 32 | 7 | | 33 | 9 | | 34 | 2 | | 35 | 2 | | 36 | 3 | | 37 | 2 | | 38 | 5 | | 39 | 39 | | 40 | 33 | | 41 | 4 | | 42 | 5 | | 43 | 11 | | 44 | 6 | | 45 | 8 | | 46 | 17 | | 47 | 4 | | 48 | 27 | | 49 | 7 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 138 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 235 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 243 | | ratio | 0 | | matches | (empty) | |
| 95.96% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 874 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 39 | | adverbRatio | 0.04462242562929062 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.004576659038901602 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 243 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 243 | | mean | 8.06 | | std | 6.72 | | cv | 0.834 | | sampleLengths | | 0 | 24 | | 1 | 15 | | 2 | 8 | | 3 | 10 | | 4 | 27 | | 5 | 37 | | 6 | 8 | | 7 | 8 | | 8 | 24 | | 9 | 7 | | 10 | 4 | | 11 | 18 | | 12 | 7 | | 13 | 1 | | 14 | 10 | | 15 | 3 | | 16 | 7 | | 17 | 6 | | 18 | 4 | | 19 | 10 | | 20 | 24 | | 21 | 6 | | 22 | 2 | | 23 | 10 | | 24 | 7 | | 25 | 24 | | 26 | 13 | | 27 | 21 | | 28 | 23 | | 29 | 21 | | 30 | 3 | | 31 | 16 | | 32 | 3 | | 33 | 1 | | 34 | 5 | | 35 | 16 | | 36 | 14 | | 37 | 14 | | 38 | 7 | | 39 | 6 | | 40 | 14 | | 41 | 4 | | 42 | 5 | | 43 | 2 | | 44 | 5 | | 45 | 5 | | 46 | 18 | | 47 | 4 | | 48 | 8 | | 49 | 10 |
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| 48.35% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.25925925925925924 | | totalSentences | 243 | | uniqueOpeners | 63 | |
| 52.08% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 128 | | matches | | 0 | "Then a woman at the" | | 1 | "Then on Rory." |
| | ratio | 0.016 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 128 | | matches | | 0 | "She wore a severe charcoal" | | 1 | "She had once laughed with" | | 2 | "She curled her hand over" | | 3 | "She had the look of" | | 4 | "His hazel eyes sharpened, then" | | 5 | "She placed her bag on" | | 6 | "Her fingers tightened once around" | | 7 | "She kept her hands around" | | 8 | "She took in the room" | | 9 | "He stayed near enough to" | | 10 | "She held his gaze a" | | 11 | "He drifted back down the" | | 12 | "She had laughed when she" | | 13 | "Her eyes watered slightly from" | | 14 | "She blinked once and recovered." | | 15 | "Her voice softened, just enough" | | 16 | "She sat back, one heel" | | 17 | "His limping step had the" | | 18 | "He glanced towards the door," | | 19 | "He polished a glass that" |
| | ratio | 0.195 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 120 | | totalSentences | 128 | | matches | | 0 | "Rory caught the pint glass" | | 1 | "The man beside her cursed," | | 2 | "Rory looked up with the" | | 3 | "The woman stood half inside" | | 4 | "She wore a severe charcoal" | | 5 | "She had once laughed with" | | 6 | "The Raven’s Nest pressed around" | | 7 | "Someone in the corner laughed" | | 8 | "Glass clicked against wood." | | 9 | "The room smelled of hops," | | 10 | "Rory set the glass down" | | 11 | "The woman’s eyes widened for" | | 12 | "A corner of Nia’s mouth" | | 13 | "Rory glanced down at her" | | 14 | "She curled her hand over" | | 15 | "Nia stepped in properly, and" | | 16 | "Rory saw then how much" | | 17 | "The old girl from Cardiff" | | 18 | "This version moved with a" | | 19 | "She had the look of" |
| | ratio | 0.938 | |
| 78.13% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 128 | | matches | | 0 | "Now she held her mouth" | | 1 | "Now it had become accounting." |
| | ratio | 0.016 | |
| 56.65% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 58 | | technicalSentenceCount | 7 | | matches | | 0 | "The woman stood half inside the green spill of the sign, one shoulder under the dark frame, as if the room had reached out and caught her." | | 1 | "She wore a severe charcoal coat that sat too well on her body to be cheap, and her hair, once long and unruly, now sat in a neat black crop that exposed the lin…" | | 2 | "The Raven’s Nest pressed around them, all low lamps and old photographs, the walls crowded with maps that had gone brown at the edges." | | 3 | "Rory glanced down at her black apron, the wrist of her shirt riding up and exposing the little crescent scar on her left wrist." | | 4 | "Nia’s gaze flicked to the shelf above the optics, to the old photographs, to the bookshelf that hid the back room." | | 5 | "Rory gave a shrug that did nothing to the tension in her shoulders." | | 6 | "Rory remembered Nia in the union bar, two fingers raised for another round, hair escaping its clip, blurting out plans that had sounded ridiculous then and some…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 105 | | tagDensity | 0.019 | | leniency | 0.038 | | rawRatio | 0 | | effectiveRatio | 0 | |